Review and recommend pricing strategy adjustments
advancedClaude OpusExecutiveStrategypricingrevenuestrategymonetizationleadership
Use case
Use this when revenue per customer feels off, win rates are sliding, or a competitor has just changed their pricing. Pricing changes are some of the highest-leverage decisions a company makes — and the ones most often deferred for fear of getting it wrong. This prompt produces a memo that gives leadership the structure to act.
The prompt
You are a pricing strategist who has run pricing redesigns at SaaS, B2B services, and consumer companies. Produce a pricing strategy review for{{company_name}}. Inputs: - Company and category:{{company_name}},{{category}}- Current pricing model and tiers:{{current_pricing}}- Average ACV / order value:{{current_acv}}- Win rate and where deals are lost:{{win_rate_data}}- Discount frequency and average discount given:{{discounting_data}}- Customer feedback on pricing (signals, not vibes):{{customer_signals}}- Competitor pricing landscape:{{competitor_pricing}}- The trigger for this review:{{trigger}}- Constraints (e.g., contracts in flight, board commitments):{{constraints}}Structure the review: ## The Diagnosis (One Paragraph) What is actually happening with pricing today, in plain language. Avoid jargon — describe the customer behavior and the financial outcome. ## Where The Money Is Leaking Three specific leaks, each with the financial estimate. Examples: high discount rate on a specific tier, low attach on a paid module, expansion that should be paid but is being given away. ## What The Pricing Is Telling Customers Pricing is communication. Describe what the current pricing is unintentionally signaling — about who the product is for, what is valuable, and what is replaceable. ## Three Adjustments To Consider Three specific pricing changes, ordered from least to most ambitious. For each: - **What changes:** the concrete adjustment - **Why now:** the trigger or evidence - **Expected revenue impact:** an estimate with the assumption stated - **Risk:** what could go wrong and at what magnitude - **Implementation effort:** time, systems, comms ## What I Would Recommend Take a position. Of the three options, which one and why. Or a sequence: do A now, B in 6 months. ## Communication & Migration Plan (Sketch) How existing customers find out, what grandfathering looks like, what sales teams need, what the rollout cadence is. Sketch only — not the full plan, but enough to know if the change is feasible. ## What We Should Not Change Pricing components that are working and should be left alone. Just as important as what to change. Constraints: - Be specific about dollar impact. If you don't have data, name the assumption you'd test first. - Avoid the trap of "raise prices" as a default answer. Sometimes the answer is restructure or unbundle. - Pricing changes ripple through sales comp, finance, and CS. Acknowledge that.
Variables
{{{{company_name}}}}Replace with your {{company name}}{{{{category}}}}Replace with your {{category}}{{{{current_pricing}}}}Replace with your {{current pricing}}{{{{current_acv}}}}Replace with your {{current acv}}{{{{win_rate_data}}}}Replace with your {{win rate data}}{{{{discounting_data}}}}Replace with your {{discounting data}}{{{{customer_signals}}}}Replace with your {{customer signals}}{{{{competitor_pricing}}}}Replace with your {{competitor pricing}}{{{{trigger}}}}Replace with your {{trigger}}{{{{constraints}}}}Replace with your {{constraints}}
Example
Input
company_name: DataStream category: real-time analytics for e-commerce current_pricing: three tiers — Starter $2K/mo, Growth $6K/mo, Enterprise custom; pricing by data volume current_acv: $58K win_rate_data: overall win rate 32%; on Enterprise tier 41%; Growth tier 19%; lose mostly on price at Growth, on integrations at Enterprise discounting_data: average 22% discount given; 40% of deals discounted >20%; CRO has open hand to discount customer_signals: "Growth tier feels like a tax on success — every time we grow, we pay more"; champions reporting they fight the bill internally each quarter competitor_pricing: Helio recently cut starter price 30%; Analytix Pro priced lower at entry, higher at enterprise; usage-based vendors gaining traction trigger: Growth tier is leaking — high churn, low expansion, lots of escalations constraints: 60+ multi-year contracts in flight that lock current pricing; sales comp restructure already in progress
Output
## The Diagnosis The Growth tier is doing what it was designed to do at the start of the pricing model — capture mid-market customers — but it is leaking on both ends. Customers feel punished for growth because data-volume pricing creates a quarterly fight, and our discounting habits are signaling that the list price is wrong. Enterprise pricing is healthier but is increasingly compared to bundled competitors. ## Where The Money Is Leaking 1. **Discount erosion on Growth tier.** 40% of deals discount >20%. At ~$2.5M of Growth ARR, that's roughly $400K of annualized discount on this tier alone. The list price is functionally a fiction. 2. **Negative expansion behavior.** Customers throttle data ingestion to manage their bill, which means we are losing the use cases that drive renewal stickiness. Estimated effect: ~5 percentage points of NRR drag, roughly $1.1M ARR/year. 3. **Underpriced enterprise integrations.** Custom warehouse integrations are bundled into Enterprise pricing without a paid attach — a real services cost we are absorbing. Estimated leak: $600K–$900K/year. ## What The Pricing Is Telling Customers Today's pricing tells customers: "We are a volume-metered tool. Your bill goes up when you succeed. Negotiate hard at renewal." That is not how we want them to think about us — we want them to think about Vantage as a system of insight, not a meter. ## Three Adjustments To Consider ### Option A — The Tactical Fix (lowest ambition) - **What changes:** Eliminate the 22% average discount on Growth by lowering list price 12% and capping discount authority at 10% without VP sign-off. - **Why now:** Discount habit is set; resetting list aligns price with reality. - **Expected revenue impact:** +$150–$250K/year on a same-volume basis, mostly through reduced discount leakage. - **Risk:** Sales pushback; some deals won on heavy discount don't close. Magnitude: small. - **Implementation effort:** ~6 weeks, sales comp tweak, quoting system update. ### Option B — The Repositioning (medium ambition) - **What changes:** Replace data-volume pricing on Growth and Enterprise with seat- + outcome-based pricing (seats × value-modifier from active dashboards/use cases). Grandfather existing contracts. - **Why now:** Customer signals say data-volume pricing is the source of pain, and the market is shifting toward outcome-based models. - **Expected revenue impact:** +12–18% ACV expansion at renewal; reduced churn on high-volume customers. Roughly $2.4M ARR/year at scale. - **Risk:** Sales force needs retraining; finance forecasting is harder for two quarters. Magnitude: medium. - **Implementation effort:** 4–5 months, billing system rework, sales enablement, customer comms. ### Option C — The Reframe (highest ambition) - **What changes:** Move to a platform-fee + module pricing model. Core platform per-seat; AI compliance, custom integrations, and advanced reporting are paid attaches. - **Why now:** Aligns price with what customers value (modules) and creates clear expansion paths. - **Expected revenue impact:** +20–30% ACV uplift over 12 months; clearer expansion mechanics. - **Risk:** Bigger lift, requires repositioning, some sticker shock. Magnitude: meaningful. - **Implementation effort:** 7–9 months, full pricing redesign. ## What I Would Recommend Sequence A and B. Ship the tactical fix in the next 60 days to stop the discount bleed, then commit to the repositioning for the second half of the year. Defer Option C until we have proven the seat-based model works. The full reframe is the right destination but trying to do all three at once will break sales productivity. ## Communication & Migration Plan (Sketch) - Existing contracts: grandfathered until renewal; no surprise mid-term changes. - At renewal: customers see new pricing, with a "no worse than today" guarantee for the first year. - Sales: 2-week enablement, new pricing calculator, talk-track for the "why this is better for you" conversation. - Customer Success: proactive outreach on top 50 accounts in the 60 days before their renewal. - Finance: dual-track forecasting through one full quarter to validate. ## What We Should Not Change - Enterprise tier list price — it's holding and competitors are not pressuring it. - The dedicated onboarding inclusion — it's a structural advantage and a real reason customers choose us. - Multi-year discount structure — it's healthy and supports cash collection.
Tips for best results
- 1Discounting data is the most underrated diagnostic. If average discount is over 15%, your list price is fiction and customers know it.
- 2Always include a 'what we should not change' section. Pricing reviews tend to over-correct.
- 3Sequence pricing changes — tactical fixes first, structural changes second. Doing both at once breaks the sales motion.
- 4Run any proposed change against three real deal scenarios before deciding. Spreadsheets lie; live deals don't.
- 5If you have customer signals, quote them in the memo. They are more persuasive than analyst data.
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